1 code implementation • Findings (ACL) 2022 • Yang Chi, Fausto Giunchiglia, Daqian Shi, Xiaolei Diao, Chuntao Li, Hao Xu
In addition, powered by the knowledge of radical systems in ZiNet, this paper introduces glyph similarity measurement between ancient Chinese characters, which could capture similar glyph pairs that are potentially related in origins or semantics.
no code implementations • 11 May 2023 • Yuwei Ren, Matt Zivney, Yin Huang, Eddie Choy, Chirag Patel, Hao Xu
Speaker protection algorithm is to leverage the playback signal properties to prevent over excursion while maintaining maximum loudness, especially for the mobile phone with tiny loudspeakers.
no code implementations • 23 Apr 2023 • Chao Li, Hao Xu, Kun He
Meta-structures are widely used to define which subset of neighbors to aggregate information in heterogeneous information networks (HINs).
no code implementations • 12 Apr 2023 • Bo Li, Yihua Chen, Hao Xu, Fei Zhong
The swift and precise detection of vehicles plays a significant role in intelligent transportation systems.
1 code implementation • 25 Mar 2023 • Hao Xu, Tengfei Xue, Dongnan Liu, Fan Zhang, Carl-Fredrik Westin, Ron Kikinis, Lauren J. O'Donnell, Weidong Cai
Our method is constructed by proposed registration-based peak augmentation (RPA) and uncertainty-based refining (URe) modules.
1 code implementation • 20 Mar 2023 • Ziqiao Peng, HaoYu Wu, Zhenbo Song, Hao Xu, Xiangyu Zhu, Hongyan Liu, Jun He, Zhaoxin Fan
Specifically, we introduce the emotion disentangling encoder (EDE) to disentangle the emotion and content in the speech by cross-reconstructed speech signals with different emotion labels.
no code implementations • 22 Feb 2023 • Chongjun Ouyang, Hao Xu, Xujie Zang, Hongwen Yang
This work proposes a novel joint design for multiuser multiple-input multiple-output wiretap channels.
no code implementations • 22 Jan 2023 • Fausto Giunchiglia, Gabor Bella, Nandu Chandran Nair, Yang Chi, Hao Xu
In today's multilingual lexical databases, the majority of the world's languages are under-represented.
no code implementations • 18 Jan 2023 • Huadeng Wang, Hao Xu, Bingbing Li, Xipeng Pan, Lingqi Zeng, Rushi Lan, Xiaonan Luo
In the first stage, a detection network named M_det is proposed to detect as many mitoses as possible.
1 code implementation • 10 Jan 2023 • Hao Xu, Hui Xiao, Huazheng Hao, Li Dong, Xiaojie Qiu, Chengbin Peng
We also propose a mechanism to select a few pseudo-negative labels to feed into submodels.
no code implementations • CVPR 2023 • Hao Xu, Tianyu Wang, Xiao Tang, Chi-Wing Fu
First, we decouple hand mesh reconstruction into two branches, one to exploit finger-level non-occluded information and the other to exploit global hand orientation, with lightweight structures to promote real-time inference.
1 code implementation • CVPR 2023 • Jian Li, Ziyao Meng, Daqian Shi, Rui Song, Xiaolei Diao, Jingwen Wang, Hao Xu
Through representation learning, DNNs can map BFs into dense clusters in feature space, while the features of minority classes often show sparse clusters.
1 code implementation • 30 Nov 2022 • Zhaoxin Fan, Yuqing Pan, Hao Xu, Zhenbo Song, Zhicheng Wang, Kejian Wu, Hongyan Liu, Jun He
In FuRPE, the network is trained using pseudo labels and features generated from part-experts.
no code implementations • 27 Nov 2022 • Chao Li, Hao Xu, Kun He
To address these issues, we propose a novel method called Partial Message Meta Multigraph search (PMMM) to automatically optimize the neural architecture design on HINs.
no code implementations • 14 Nov 2022 • Yuwei Ren, Jiuyuan Lu, Andrian Beletchi, Yin Huang, Ilia Karmanov, Daniel Fontijne, Chirag Patel, Hao Xu
Range-Doppler information (RDI) is obtained by using pulse Doppler radar for gesture recognition.
no code implementations • 7 Nov 2022 • Hao Xu, Jinglong Lin, Dongxiao Zhang, Fanyang Mo
A new research framework is proposed to incorporate machine learning techniques into the field of experimental chemistry to facilitate chromatographic enantioseparation.
no code implementations • 23 Oct 2022 • Bin Ji, Shasha Li, Hao Xu, Jie Yu, Jun Ma, Huijun Liu, Jing Yang
On the one hand, the core architecture enables our model to learn token-level label information via the sequence tagging mechanism and then uses the information in the span-based joint extraction; on the other hand, it establishes a bi-directional information interaction between NER and RE.
Joint Entity and Relation Extraction named-entity-recognition +2
1 code implementation • 11 Oct 2022 • Lin Ma, Jiangtao Gong, Hao Xu, Hao Chen, Hao Zhao, Wenbing Huang, Guyue Zhou
In this paper, we present a graph-transformer based framework for the ASP problem which is trained and demonstrated on a self-collected ASP database.
no code implementations • 26 Sep 2022 • Tiantian Tang, Hao Xu, Chengcheng Wu, Sijie Lye, Yan Xiang
Autonomous driving is a hot research topic in the frontier of science and technology.
1 code implementation • Neurocomputing 2022 • Hui Xiao, Li Dong, Kangkang Song, Hao Xu, Shuibo Fu, Diqun Yan, Chengbin Peng
In experiments, the cross-teacher module significantly improves the performance of traditional student-teacher approaches, and our framework outperforms stateof-the-art methods on benchmark datasets.
no code implementations • 29 Aug 2022 • Hao Xu, Bo Li, Fei Zhong
Fire-detection technology is of great importance for successful fire-prevention measures.
no code implementations • 18 Aug 2022 • Bin Ji, Hao Xu, Jie Yu, Shasha Li, Jun Ma, Yuke Ji, Huijun Liu
An exhaustive study has been conducted to investigate span-based models for the joint entity and relation extraction task.
Joint Entity and Relation Extraction Vocal Bursts Valence Prediction
1 code implementation • 5 Aug 2022 • Hao Xu, Junsheng Zeng, Dongxiao Zhang
The PIC is also employed to discover unrevealed macroscale governing equations from microscopic simulation data in an actual physical scene.
no code implementations • 1 Aug 2022 • Huixuan Chi, Hao Xu, Hao Fu, Mengya Liu, Mengdi Zhang, Yuji Yang, Qinfen Hao, Wei Wu
In particular: 1) existing methods do not explicitly encode and capture the evolution of short-term preference as sequential methods do; 2) simply using last few interactions is not enough for modeling the changing trend.
no code implementations • 20 Jul 2022 • Chongjun Ouyang, Hao Xu, Xujie Zang, Hongwen Yang
This paper considers a lens antenna array-assisted millimeter wave (mmWave) multiuser multiple-input multiple-output (MU-MIMO) system.
1 code implementation • 16 Jul 2022 • Daqian Shi, Xiaolei Diao, Lida Shi, Hao Tang, Yang Chi, Chuntao Li, Hao Xu
Degraded images commonly exist in the general sources of character images, leading to unsatisfactory character recognition results.
no code implementations • 16 Jul 2022 • Daqian Shi, Xiaolei Diao, Hao Tang, Xiaomin Li, Hao Xing, Hao Xu
SENet aims to preserve the structural consistency of the character and normalize complex noise.
no code implementations • 12 Jul 2022 • Xiaolei Diao, Daqian Shi, Hao Tang, Qiang Shen, Yanzeng Li, Lei Wu, Hao Xu
The long-tail effect is a common issue that limits the performance of deep learning models on real-world datasets.
no code implementations • 30 May 2022 • Oluwaseyi Onasami, Ming Feng, Hao Xu, Mulugeta Haile, Lijun Qian
Underwater acoustic (UWA) communications have been widely used but greatly impaired due to the complicated nature of the underwater environment.
1 code implementation • 24 May 2022 • Yuling Wang, Hao Xu, Yanhua Yu, Mengdi Zhang, Zhenhao Li, Yuji Yang, Wei Wu
This EMR optimization objective is able to derive an iterative updating rule, which can be formalized as an ensemble message passing (EnMP) layer with multi-relations.
no code implementations • 18 Apr 2022 • Yuchao Zheng, Chen Li, Xiaomin Zhou, HaoYuan Chen, Hao Xu, Yixin Li, Haiqing Zhang, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek
Method: This paper proposes a deep ensemble model based on image-level labels for the binary classification of benign and malignant lesions of breast histopathological images.
no code implementations • 16 Apr 2022 • Hao Xu, Yuntian Chen, Dongxiao Zhang
The interpretability of deep neural networks has attracted increasing attention in recent years, and several methods have been created to interpret the "black box" model.
no code implementations • 15 Apr 2022 • Haoming Chen, Runyang Feng, Sifan Wu, Hao Xu, Fengcheng Zhou, Zhenguang Liu
Briefly, existing approaches put their efforts in three directions, namely network architecture design, network training refinement, and post processing.
no code implementations • 9 Apr 2022 • Berkin Akin, Suyog Gupta, Yun Long, Anton Spiridonov, Zhuo Wang, Marie White, Hao Xu, Ping Zhou, Yanqi Zhou
On-device ML accelerators are becoming a standard in modern mobile system-on-chips (SoC).
1 code implementation • 7 Apr 2022 • Simon Dahan, Hao Xu, Logan Z. J. Williams, Abdulah Fawaz, Chunhui Yang, Timothy S. Coalson, Michelle C. Williams, David E. Newby, A. David Edwards, Matthew F. Glasser, Alistair A. Young, Daniel Rueckert, Emma C. Robinson
Results suggest that Surface Vision Transformers (SiT) demonstrate consistent improvement over geometric deep learning methods for brain age and fluid intelligence prediction and achieve comparable performance on calcium score classification to standard metrics used in clinical practice.
no code implementations • 02/05 2022 • Zhihui Chen, Hao Xu, Junxuan Zhao, and Hongchao Liu
To contribute to better roadside LiDAR-based transportation facilities, this paper presents a fast-spherical-projection-based clustering algorithm (FSPC) for real-time LiDAR data processing with higher clustering accuracy and noise handling.
no code implementations • 22 Jan 2022 • Keqi Wang, Ziteng Cui, Jieru Jia, Hao Xu, Ge Wu, Yin Zhuang, Lu Chen, Zhiguo Hu, Yuhua Qian
However, the convolution operation is based on a local sliding window mechanism, which is difficult to construct the long-range dependencies of the feature maps.
no code implementations • 14 Dec 2021 • Peng Zhao, Chen Li, Md Mamunur Rahaman, Hao Xu, Pingli Ma, Hechen Yang, Hongzan Sun, Tao Jiang, Ning Xu, Marcin Grzegorzek
Each type of EM contains 40 original and 40 GT images, in total 1680 EM images.
1 code implementation • 23 Nov 2021 • Tongya Zheng, Zunlei Feng, Yu Wang, Chengchao Shen, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen, Hao Xu
Our proposed Dynamic Preference Structure (DPS) framework consists of two stages: structure sampling and graph fusion.
no code implementations • 18 Nov 2021 • Hao Xu, Steven A. Niederer, Steven E. Williams, David E. Newby, Michelle C. Williams, Alistair A. Young
In addition to the new labels, the median Dice scores were improved for all the initial 6 labels to be above 95% in the 10-label segmentation, e. g. from 91% to 97% for the left atrium body and from 92% to 96% for the right ventricle.
no code implementations • 12 Oct 2021 • Justin Li, Dakang Zhang, Yifei Wang, Christopher Ye, Hao Xu, Pengyu Hong
Since late 1960s, there have been numerous successes in the exciting new frontier of asymmetric catalysis.
no code implementations • 16 Jul 2021 • Peng Zhao, Chen Li, Md Mamunur Rahaman, Hao Xu, Hechen Yang, Hongzan Sun, Tao Jiang, Marcin Grzegorzek
In recent years, deep learning has made brilliant achievements in Environmental Microorganism (EM) image classification.
no code implementations • 18 Jun 2021 • Rui Song, Xingbing Chen, Zelong Liu, Haining An, Zhiqi Zhang, Xiaoguang Wang, Hao Xu
In this paper, we propose a Label Mask multi-label text classification model (LM-MTC), which is inspired by the idea of cloze questions of language model.
2 code implementations • 9 Jun 2021 • Yuntian Chen, Yingtao Luo, Qiang Liu, Hao Xu, Dongxiao Zhang
Partial differential equations (PDEs) are concise and understandable representations of domain knowledge, which are essential for deepening our understanding of physical processes and predicting future responses.
2 code implementations • 7 Jun 2021 • Hao Xu, Nianjin Ye, Guanghui Liu, Bing Zeng, Shuaicheng Liu
Data association is important in the point cloud registration.
no code implementations • 31 May 2021 • Junsheng Zeng, Hao Xu, Yuntian Chen, Dongxiao Zhang
Although deep-learning has been successfully applied in a variety of science and engineering problems owing to its strong high-dimensional nonlinear mapping capability, it is of limited use in scientific knowledge discovery.
no code implementations • 31 May 2021 • Hao Xu, Dongxiao Zhang
In the framework, a preliminary result of potential terms provided by the deep learning-genetic algorithm is added into the loss function of the PINN as physical constraints to improve the accuracy of derivative calculation.
no code implementations • 3 Apr 2021 • Rui Song, Fausto Giunchiglia, Ke Zhao, Hao Xu
The complexity and non-Euclidean structure of graph data hinder the development of data augmentation methods similar to those in computer vision.
1 code implementation • ICCV 2021 • Hao Xu, Shuaicheng Liu, Guangfu Wang, Guanghui Liu, Bing Zeng
On the other hand, previous global feature based approaches can utilize the entire point cloud for the registration, however they ignore the negative effect of non-overlapping points when aggregating global features.
Ranked #11 on Point Cloud Registration on 3DMatch (at least 30% overlapped - sample 5k interest points)
no code implementations • 20 Feb 2021 • Zihan Li, Chen Li, YuDong Yao, Jinghua Zhang, Md Mamunur Rahaman, Hao Xu, Frank Kulwa, Bolin Lu, Xuemin Zhu, Tao Jiang
EMDS-5 can realize to evaluate image preprocessing, image segmentation, feature extraction, image classification and image retrieval functions.
no code implementations • 26 Jan 2021 • Hao Xu, Lei Zhang, Elaine Sun, Chih-Lin I
In this paper, Blockchain-enabled Radio Access Networks (BE-RAN) is proposed as a novel decentralized RAN architecture to facilitate enhanced security and privacy on identification and authentication.
Cryptography and Security Distributed, Parallel, and Cluster Computing Networking and Internet Architecture
no code implementations • 24 Nov 2020 • Hao Xu, Dongxiao Zhang, Nanzhe Wang
Our proposed algorithm is also able to discover PDEs with high-order derivatives or heterogeneous parameters accurately with sparse and noisy data.
no code implementations • 19 Nov 2020 • Qiang Shen, Stefano Teso, Wanyi Zhang, Hao Xu, Fausto Giunchiglia
Second, existing models typically assume that context is objective, whereas in most applications context is best viewed from the user's perspective.
1 code implementation • 29 Oct 2020 • Hao Xu, Shengqi Sang, Peizhen Bai, Laurence Yang, Haiping Lu
Heterogeneous graph representation learning aims to learn low-dimensional vector representations of different types of entities and relations to empower downstream tasks.
no code implementations • 12 Sep 2020 • Ze Cheng, Juncheng Li, Chenxu Wang, Jixuan Gu, Hao Xu, Xinjian Li, Florian Metze
In this paper, we provide a theoretical explanation that low total correlation of sampled representation cannot guarantee low total correlation of the mean representation.
1 code implementation • 10 Aug 2020 • Xiaoxian Tang, Hao Xu
For three typical sets of small reaction networks (networks with two reactions, one irreversible and one reversible reaction, or two reversible-reaction pairs), we completely answer the challenging question: what is the smallest subset of all multistable networks such that any multistable network outside of the subset contains either more species or more reactants than any network in this subset?
1 code implementation • 5 Jul 2020 • Hao Xu, Ka Hei Hui, Chi-Wing Fu, Hao Zhang
To start, we reformulate tiling as a graph problem by modeling candidate tile locations in the target shape as graph nodes and connectivity between tile locations as edges.
no code implementations • 16 May 2020 • Hao Xu, Dongxiao Zhang, Junsheng Zeng
Next, genetic algorithm is utilized to discover the form of PDEs and corresponding coefficients with an incomplete candidate library.
no code implementations • LREC 2020 • Eric Chen, Zhiyun Lu, Hao Xu, Liangliang Cao, Yu Zhang, James Fan
We present a multimodal corpus for sentiment analysis based on the existing Switchboard-1 Telephone Speech Corpus released by the Linguistic Data Consortium.
1 code implementation • 28 Jan 2020 • Hao Xu, Shengqi Sang, Haiping Lu
The use of drug combinations often leads to polypharmacy side effects (POSE).
Ranked #1 on Pose Prediction on SUN-Mem
no code implementations • 21 Jan 2020 • Hao Xu, Haibin Chang, Dongxiao Zhang
In the proposed framework, a deep neural network that is trained with available data of a physical problem is utilized to generate meta-data and calculate derivatives, and the genetic algorithm is then employed to discover the underlying PDE.
no code implementations • 28 Sep 2019 • Hao Xu
However, current mainstream content popularity prediction methods only use the number of downloads and shares or the distribution of user interests, which do not consider important time and geographic location information in mobile social networks, and all of data is from OSN which is not same as MSN.
no code implementations • 25 Sep 2019 • Ze Cheng, Juncheng B Li, Chenxu Wang, Jixuan Gu, Hao Xu, Xinjian Li, Florian Metze
In the problem of unsupervised learning of disentangled representations, one of the promising methods is to penalize the total correlation of sampled latent vari-ables.
no code implementations • 13 Aug 2019 • Hao Xu, Haibin Chang, Dongxiao Zhang
However, prior to achieving this goal, major challenges remain to be resolved, including learning PDE under noisy data and limited discrete data.
no code implementations • 2 May 2019 • Mohammad Jafari, Vahid Sarfi, Amir Ghasemkhani, Hanif Livani, Lei Yang, Hao Xu
In this paper, a biologically-inspired adaptive intelligent secondary controller is developed for microgrids to tackle system dynamics uncertainties, faults, and/or disturbances.
no code implementations • Transportation Research Record, v 2672, n 45, p 106-114, 2018 • Jianqing Wu, Hao Xu, Yuan Sun, Jianying Zheng, and Rui Yue
Background filtering is the preprocessing step to obtain the HRMTD of different roadway users from roadside LiDAR data.
no code implementations • 29 Nov 2018 • Jiajun Duan, Zhehan Yi, Di Shi, Hao Xu, Zhiwei Wang
Conventional control strategies usually produce large disturbances to buses during charging and discharging (C&D) processes of UCs, which significantly degrades the power quality and system performance, especially under fast C&D modes.
no code implementations • 27 Sep 2018 • Shuqian Ye, Yanheng Xu, Jiechun Liang, Hao Xu, Shuhong Cai, Shixin Liu, Xi Zhu
In this work we developed a new representation of the chemical information for the machine learning models, with benefits from both the real space (R-space) and energy space (K-space).
no code implementations • 25 Nov 2017 • Siyang Li, Xiangxin Zhu, Qin Huang, Hao Xu, C. -C. Jay Kuo
When supervising an object detector with weakly labeled data, most existing approaches are prone to trapping in the discriminative object parts, e. g., finding the face of a cat instead of the full body, due to lacking the supervision on the extent of full objects.
no code implementations • 31 Mar 2016 • Qin Huang, Chunyang Xia, Wenchao Zheng, Yuhang Song, Hao Xu, C. -C. Jay Kuo
Semantic segmentation is critical to image content understanding and object localization.
no code implementations • 30 Jul 2013 • Jingdong Wang, Hao Xu, Xian-Sheng Hua, Shipeng Li
We formulate this problem as finding a few image exemplars to represent the image set semantically and visually, and solve it in a hybrid way by exploiting both visual and textual information associated with images.